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Merged Multiresolution Hierarchies for Shadow Map Compression

COMPUTER GRAPHICS FORUM 2016年第7期35卷 383-390页

作者： Scandolo, Leonardo Bauszat, Pablo Eisemann, Elmar Delft Univ Technol NL-2600 AA Delft Netherlands

Multiresolution Hierarchies (MH) and Directed Acyclic Graphs (DAG) are two recent approaches for the compression of high-resolution shadow information. In this paper, we introduce Merged Multiresolution Hierarchies (MMH), a novel data structure that unifies both concepts. An MMH leverages both hierarchical homogeneity exploited in MHs, as well as topological similarities exploited in DAG representations. We propose an efficient hash-based technique to quickly identify and remove redundant subtree instances in a modified relative MH representation. Our solution remains lossless and significantly improves the compression rate compared to both preceding shadow map compression algorithms, while retaining the full run-time performance of traditional MH representations.

关键词： Categories and Subject Descriptors (according to ACM CCS) I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism&mdash Color shading shadowing and texture I.4.2 [Computer Graphics]: Compression (coding)&mdash exact coding

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Compressed Multiresolution Hierarchies for High-Quality Precomputed Shadows

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COMPUTER GRAPHICS FORUM 2016年第2期35卷 331-340页

作者： Scandolo, Leonardo Bauszat, Pablo Eisemann, Elmar Delft Univ Technol NL-2600 AA Delft Netherlands

The quality of shadow mapping is traditionally limited by texture resolution. We present a novel lossless compression scheme for high-resolution shadow maps based on precomputed multiresolution hierarchies. Traditional multiresolution trees can compactly represent homogeneous regions of shadow maps at coarser levels, but require many nodes for fine details. By conservatively adapting the depth map, we can significantly reduce the tree complexity. Our proposed method offers high compression rates, avoids quantization errors, exploits coherency along all data dimensions, and is well-suited for GPU architectures. Our approach can be applied for coherent shadow maps as well, enabling several applications, including high-quality soft shadows and dynamic lights moving on fixed-trajectories.

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